4 results about "Speech therapy" patented technology

1. The name of the design product: speech correction learning machine. 2. The use of the design product: for speech correction of the hearing-impaired. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The disclosure relates to systems, methods and computer readable media for use in the treatment of various mood and other psychological disorders, as well as behavioral application, epilepsy application, Parkinson application, depression treatment, anxiety treatment, treatment and monitoring of sleep disorders, stress monitoring, speech therapy, general health tracking, dietary regimens' tracking, physiotherapy, post-stroke rehabilitation, awareness and alertness tracking, controlling portable computing devices, and in controlling gaming consoles. Specifically, the disclosure relates to computerized and networked systems, methods, uses and computer-readable media for activating facial muscles, in order to emulate a facial expression configured to ameliorate a mood disorder, hence ameliorating symptoms of, for example, mild depression and anxiety.

Systems and methods for monitoring neuroplasticity within at least one region of interest of a brain of a subject are disclosed. The method includes transforming at least one time sequence of signals indicative of neural activity into a summary parameter indicative of plasticity pulses. The method further includes evaluating the summary parameter with respect to one or more threshold values to obtain a determination of neuroplasticity within at least one region of interest of the subject. The method may be used to evaluate the efficacy of a neuroactive therapy, such as a neuroactive medication, a physical therapy, an occupational therapy or a speech therapy. The summary parameter obtained using the disclosed method may be displayed to a subject as a biofeedback during a neurotherapy.

A speech therapy system and method therefor are disclosed. The system includes graduated speaking exercise modules and a computer system including a processor and a memory. The modules are arranged sequentially and are collectively configured to provide graduated speaking exercises, or GSEs, of increasing conversational realism for a stuttering user. The processor executes the app and the modules, and each of the modules create an associated GSE that defines a different state of the app. When the app is in a current state defined by a current GSE, the app obtains or determines a fluency metric from user speech or from a user fluency self-rating. When the metric meets an upper fluency threshold of the current GSE, the app transitions to a next app state defined by a next GSE, and the app can conclude that the user is fluent if the upper threshold is met for a final GSE.